A single nucleotide polymorphism affects protein translation and leads to post‐anthesis color change variation in closely related <i>Lotus</i> species
Bibliographic record
Abstract
Flower color change, a common phenomenon that is important in pollination ecology, has intrigued scientists for decades. While previous flower color studies have mainly focused on color diversity among different plant species, our focus is on unraveling the mechanism of post-anthesis color change (PACC) and the molecular basis for its presence and absence, respectively, in two closely related species of Lotus, Lotus filicaulis and Lotus japonicus MG20. Metabolomic analysis reveals anthocyanins as the key metabolites responsible for the observed PACC. Differential expression of anthocyanin biosynthetic and transport genes causes the variation in PACC between the two Lotus species. Crucially, the significant upregulation of a functionally characterized MYB regulator, LfPAP1, is linked to the accumulation of anthocyanins and visible color alterations in L. filicaulis flowers. Notably, we uncover a nucleotide polymorphism in the initiation codon of LjPAP1. Although this mutation does not affect transcription, we show that it has a major effect in attenuating protein translation, reducing its capacity to activate anthocyanin biosynthesis, and leading to a failure of PACC in L. japonicus MG20. Our study sheds light on mechanisms of PACC phenomenon and highlights the potential for mutations in initiation sequences to generate phenotypic differences between species in evolution.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".